An article takes you to get the load matrix, correlation coefficient matrix, and principal component analysis in mathematical modeling (11 years of soil heavy metal pollution example explanation with code)

1. Topic analysis

Through data analysis, explain the main cause of heavy metal pollution

In the second question, in order to find out the main cause of heavy metal pollution, we used principal component analysis to analyze the pollution of eight types of heavy metals in different functional areas, and combined the correlation between heavy metals in different functional areas and our understanding of the sources of heavy metals. The analysis shows that the heavy metal pollution in the industrial area mainly comes from waste gas from industrial production process, while the main road area is mainly polluted by automobile exhaust and other traffic pollution. The pollution in living areas, parks and green areas and mountainous areas mainly comes from industrial waste gas. And the diffusion of traffic exhaust gas, the use of pesticides, etc.

2. Heavy metal pollution evaluation model based on principal component analysis

Since the content of heavy metals in different functional areas is not the same, if there is a correlation between heavy metals, it means that their sources may be similar. If there is no correlation, the sources may be different. To analyze the main causes of heavy metal pollution, we use principal component analysis to reduce the dimensionality of the data, and recombine many indicators with certain correlations into a new set of comprehensive indicators to measure each overall, which is about the impact on different functional areas. Various heavy metal components are integrated into several principal components, and then their correlation and principal component scores are considered.

1. Model

Guess you like

Origin blog.csdn.net/nanhuaibeian/article/details/107849049